databricks.koalas.Series.at_time¶

Series.at_time(time: Union[datetime.time, str], asof: bool = False, axis: Union[int, str] = 0) → databricks.koalas.series.Series[source]¶

Select values at particular time of day (e.g., 9:30AM).

Parameters

timedatetime.time or str
axis{0 or ‘index’, 1 or ‘columns’}, default 0

Returns

Series

Raises

TypeError: If the index is not a DatetimeIndex

See also

between_time: Select values between particular times of the day.
DatetimeIndex.indexer_at_time: Get just the index locations for values at particular time of the day.

Examples

>>> idx = pd.date_range('2018-04-09', periods=4, freq='12H')
>>> kser = ks.Series([1, 2, 3, 4], index=idx)
>>> kser
2018-04-09 00:00:00    1
2018-04-09 12:00:00    2
2018-04-10 00:00:00    3
2018-04-10 12:00:00    4
dtype: int64

>>> kser.at_time('12:00')
2018-04-09 12:00:00    2
2018-04-10 12:00:00    4
dtype: int64

databricks.koalas.Series.last_valid_index

databricks.koalas.Series.between_time